Michael C. Wu
- Genetics top 0.5%
- Genetic Associations and Epidemiology 21
- Molecular Biology top 2%
- Gut microbiota and health 23
- Gene expression and cancer classification 16
- Epigenetics and DNA Methylation 16
- Bioinformatics and Genomic Networks 11
- RNA modifications and cancer 9
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 8
- Biological Psychiatry top 5%
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- Reproductive tract infections research 13
- Journals
- Genetic Epidemiology (11 papers)Bioinformatics (7 papers)Journal of Clinical Oncology (6 papers)
- Partner nations
- United StatesAustraliaNorway
In The Last Decade
Michael C. Wu
146 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 2.5k
- Molecular Biology 3.8k
- Health, Toxicology and Mutagenesis 594
- Cancer Research 522
- Biological Psychiatry 86
Countries citing papers authored by Michael C. Wu
This map shows the geographic impact of Michael C. Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael C. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Wu more than expected).
Fields of papers citing papers by Michael C. Wu
This network shows the impact of papers produced by Michael C. Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael C. Wu. The network helps show where Michael C. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael C. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 32 | |
| 10 | 2018 | 24 | |
| 11 | 2017 | 2 | |
| 12 | 2015 | 24 | |
| 13 | 2015 | 203 | |
| 14 | 2014 | 96 | |
| 15 | 2013 | 40 | |
| 16 | OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning | 2011 | 117 |
| 17 | 2011 | 45 | |
| 18 | 2010 | 39 | |
| 19 | 2010 | 29 | |
| 20 | 2009 | 12 |
About Michael C. Wu
Michael C. Wu is a scholar working on Microbiology, Genetics, Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 154 papers that have together received 7.9k indexed citations. Recurring topics across this work include Gut microbiota and health (23 papers), Genetic Associations and Epidemiology (21 papers), Gene expression and cancer classification (16 papers), Epigenetics and DNA Methylation (16 papers), Reproductive tract infections research (13 papers), Bioinformatics and Genomic Networks (11 papers), RNA modifications and cancer (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Genetics (2.5k citations), Molecular Biology (3.8k citations), Health, Toxicology and Mutagenesis (594 citations), Cancer Research (522 citations) and Biological Psychiatry (86 citations). Michael C. Wu has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include Xihong Lin, Seunggeun Lee, Tianxi Cai, Yun Li, Michael Boehnke, Xinyi Lin, S. Lee, Michael P. Epstein, Jack L. Gallant and Stephen V. David. Their work appears in journals such as Genetic Epidemiology, Bioinformatics, Journal of Clinical Oncology, The Journal of Infectious Diseases and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.